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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM65405
Volume:
10 |
6 |
Jun 2026
Pages:
1-3
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Computer Engineering
RMD Sinhgad School Of Engineering, Warje, Pune.
Computer Engineering
RMD Sinhgad School Of Engineering, Warje, Pune.
Computer Engineering
RMD Sinhgad School Of Engineering, Warje, Pune.
Computer Engineering
RMD Sinhgad School Of Engineering, Warje, Pune.
Computer Engineering
RMD Sinhgad School Of Engineering, Warje, Pune.
The rapid growth of online trading platforms and digital financial technologies has significantly improved access to stock market participation and investment opportunities. However, it has also exposed novice investors to increased financial risk due to limited practical knowledge and inadequate understanding of trading strategies. This paper presents a web-based virtual stock trading system designed to provide a risk-free simulation environment for beginner investors. The platform integrates real-time stock data simulation, portfolio management tools, virtual wallet functionality, order execution modules, and market news feeds to replicate realistic trading conditions. Experimental evaluation through pilot user testing indicates that the system enhances the understanding of trading mechanisms, portfolio allocation, and risk management compared to traditional theoretical learning methods. The modular layered architecture further ensures scalability, maintainability, and flexibility for integrating additional financial instruments and advanced analytics in future developments
KEYWORDS
This research holds significant strategic impact for fostering responsible investment behavior in emerging markets where retail participation is surging. By providing a safe harbor for experimentation, the system serves as a crucial bridge between theoretical knowledge and practical execution. The study confirms that combining realistic market simulation with structured analytical feedback is essential for improving risk management skills among emerging investors. The following trajectories represent the intended development for future iterations: ● Integration of live market data and advanced technical indicators. ● Inclusion of diversified asset classes, including mutual funds and derivatives. ● Implementation of adaptive feedback mechanisms for personalized learning. ● Expansion of evaluation studies to include larger user demographics and cloud-based deployment. Final acknowledgment is due to the institutional support and academic mentorship provided by the RMD Sinhgad School of Engineering, which enabled the successful realization of this research.
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Publication Date
6/24/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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No funding information available for this research.
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